Byung-Jun Yoon
10 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (6) π Renaissance Researcher (8)
πΊοΈ
Taxonomy Completionist
(25)
π
Grand Slam
π
Keyword Champion
π
Century Club
(10)
π
Trend Setter
Conferences
AISTATS (2)
ICLR (2)
AAAI (1)
ACL (1)
COLING (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
bayesian learning
(1)
uncertainty quantification
(1)
knowledge extraction
(1)
information extraction
(1)
quantum computing
(1)
remote sensing
(1)
predictive modeling
(1)
gene regulation
(1)
bayesian active learning
(1)
object counting
(1)
gaussian process classification
(1)
semantic network
(1)
label efficiency
(1)
implicit neural representation
(1)
knowledge graph
(1)
acquisition function
(1)
node embedding
(1)
biomedical text
(1)
bayesian deep learning
(1)
link prediction
(1)
Papers
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
COLING 2025
Pareto Prompt Optimization
ICLR 2025
Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity
UAI 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
AISTATS 2024
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
ICML 2024
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges
ACL 2023
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
ICLR 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
AAAI 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
AISTATS 2021
Efficient Active Learning for Gaussian Process Classification by Error Reduction
NIPS 2021